MRI: Acquisition of the ISTeC High Performance Computing Infrastructure for Science and Engineering Research Projects

提案编号：CNS 09- 23386 PI：Siegel，霍华德杰伊 Burns，帕特里克J.机构：科罗拉多州立大学标题：MRI/采集：ISTeC High Performance Computing Infrastructure for Science and Eng Research该奖项由2009年美国复苏和再投资法案（Public Law 111-5）资助。项目建议：该项目收购高性能计算（HPC）仪器，旨在支持科学和工程中更大和更复杂的问题（特别是数据密集型应用），为现有模型增加更大的物理保真度，促进HPC应用于新的研究和发现领域，并支持培训以吸引新的研究人员。该项目填补了当前网络基础设施（CI）资源的空白，预计将改变机构的发现文化，将HPC提升到中央基础设施的水平。先进的网络将促进第三层系统与其他系统的互动，并提高研究人员？能够在全球范围内利用Tier 1和Tier 2系统。该系统的主要重点将是NSF资助的研究领域的数据（通常是计算）密集型应用，如极紫外激光器的设计，天气预报，计算物理，气候变化，大气建模，生物信息学，网络流量分析，机器人技术，计算电磁学，遥感，鲁棒资源分配和磁性材料。第3层系统将扩大计算的领域和范围，允许更高保真度的问题，包括多物理算法和更精细的空间和时间分辨率。更广泛的影响：现有的Tier-3将分享用于教育目的的不同架构的周期：讲习班，研讨会，通过亲和团体的专业知识，教师，课程和学生。该机构是STEM毕业生的大型生产商，将HPC融入STEM课程和K-12教师培训计划，重点是女性和少数民族的融入。ISTeC工业咨询理事会的成员公司表示有兴趣参加这些活动。现有的课程通过由来自不同学科的应用专家（广度）和数学家（算法）和计算机学家（将应用程序和算法映射到并行架构）（深度）组成的团队来支持这项活动。

Proposal #: CNS 09-23386PI(s): Siegel, Howard Jay Burns, Patrick J.Institution: Colorado State University Title: MRI/Acq.: ISTeC High Performance Computing Infrastructure for Science and Eng ResearchThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).Project Proposed:This project, acquiring High Performance Computing (HPC) instrumentation, aims to support much larger and more complex problems in science and engineering (especially for data intensive applications), add greater physical fidelity to existing models, facilitate application of HPC to new areas of research and discovery, and support training to attract new researchers. Filling the current void in cyberinfrastructure (CI) resources, the project is expected to change the culture of discovery at the institution, elevating HPC to the level of central infrastructure. Advanced networking will facilitate the interaction of Tier-3 system with other systems, and enhance researchers? abilities to utilize Tiers 1 and 2 systems worldwide. The principal focus of the system will be data- (and often compute-) intensive applications in NSF funded research areas, such as design of extreme ultraviolet lasers, weather forecasting, computational physics, climate change, atmospheric modeling, bioinformatics, network traffic analysis, robotics, computational electromagnetics, remote sensing, robust resource allocation, and magnetic materials. Tier -3 system will expand the domain and range of computations, allowing problems of greater fidelity including multi-physics algorithms and much finer spatial and temporal resolutions. The work is carried out with CSU-Pueblo, a Hispanic-serving institution, as full partner.Broader Impacts: The existing Tier-3 will share cycles of different architectures for educational purposes: workshops, seminars, expertise via affinity groups, instructors, courses, and students. The institution, a large producer of STEM graduates, will integrate HPC into the STEM curricula and K-12 teacher training programs with emphasis on inclusion of women and minorities. Member companies of the ISTeC Industrial Advisory Council have expressed interest in participating in the activities. Existing courses support the activity through teams consisting of application experts from diverse disciplines (breadth), and mathematicians (algorithms) and computists (mapping applications and algorithms to parallel architectures) (depth).